Time-Series Forecasting of Seasonal Data Using Machine Learning Methods

The models for forecasting time series with seasonal variability can be used to build automatic real-time control systems. For example, predicting the water flowing in a wastewater treatment plant can be used to calculate the optimal electricity consumption. The article describes a performance analy...

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Bibliographic Details
Main Authors: Vadim Kramar, Vasiliy Alchakov
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Algorithms
Subjects:
Online Access:https://www.mdpi.com/1999-4893/16/5/248